تأثیر مدلسازی اطلاعات ساختمان بر روی اقتصاد پروژه های بیمارستانی

امراللهی, محمدرضا; امانی, نیما

doi:10.22065/jsce.2025.489355.3579

تأثیر مدلسازی اطلاعات ساختمان بر روی اقتصاد پروژه های بیمارستانی

نوع مقاله : علمی - پژوهشی

نویسندگان

محمدرضا امراللهی ¹

نیما امانی ²

¹ کارشناسی ارشد مدیریت ساخت، گروه مهندسی عمران، ,واحد چالوس، دانشگاه آزاد اسلامی، چالوس، ایران

² دانشیار گروه مهندسی عمران، واحد چالوس، دانشگاه آزاد اسلامی، چالوس، ایران

10.22065/jsce.2025.489355.3579

چکیده

یکی از مهم‌ترین عوامل موفقیت در پروژه‌های ساختمانی عمومی مانند بیمارستان‌ها که به دلیل حجم گستردة مصالح سازه‌ای، معماری و تأسیساتی، ناخواسته در حین اجرا دچار تداخلاتی می‌شوند، مدیریت این تداخلات و جلوگیری از ایجاد آن‌ها قبل از فاز اجرایی در راستای جلوگیری از افزایش هزینه، کاهش زمان و کاهش کیفیت پروژه است. در این پژوهش با پیاده‌سازی بهینه تأسیسات ساختمان‌های عمومی با به‌کارگیری مدل‌سازی اطلاعات ساختمان مطالعه موردی بیمارستان شهدای تجریش به تأثیر به‌کارگیری BIM در مدیریت و رفع کامل تداخلات سازه‌ای و تأسیساتی پروژه‌های ساختمانی کشور و میزان هدر رفت مصالح، دوباره‌کاری و میزان تأثیر آن‌ها بر معیار هزینه پروژه قبل از فاز اجرا پرداخته شد. دراین‌خصوص با استفاده از نرم‌افزار Revit 2015 دو بار ساختمان مدل‌سازی شد که ابتدا سازه، معماری و تأسیسات مکانیکی و برقی بیمارستان موردمطالعه در دوطبقه طبق نقشه‌های اتوکدی تأییدشدة مشاور پروژه، مدل‌سازی شد و چگونگی شناسایی نقاط تداخل احجام سازه‌ای و تأسیساتی در جهت رفع آن‌ها مورد بررسی قرار گرفت و تعداد آن‌ها مشخص گردید. در آخر مدل بهینه‌سازی‌شده عاری از تداخلات سازه‌ای و تأسیساتی تهیه شد و با مقایسه این دو مدل میزان هدر رفت مصالح و دوباره‌کاری حاصل از آن محاسبه شد و ارائه گردید. در صورت عدم مدل سازی اطلاعات ساختمان، به طور میانگین مقدار 7 درصد هدر رفت مصالح و 9 درصد کاهش هزینه مجموع برای ساخت بیمارستانی دوطبقه با مساحت زیربنای 2600 مترمربع پیشبینی می شود. بیشترین مقدار هدر رفت و دوباره‌کاری‌ها مربوط به ورق کانال‌های هوا و اتصالات دنده‌ای لوله‌های گالوانیزه است. میزان هدر رفت کل برای ورق کانال‌های هوا 24 درصد و برای اتصالات دنده‌ای لوله‌های گالوانیزه 32 درصد است. نتایج حاصل از این پژوهش نشان داد با به‌کارگیری BIM پیش از فاز اجرای پروژه می‌توان تداخلات سازه‌ای و تأسیساتی موجود در پروژه‌ها را شناسایی و از وقوع آنها جلوگیری کرد.

کلیدواژه‌ها

مدل‌سازی اطلاعات ساختمان

پروژه‌های بیمارستانی

شناسایی تداخلات امکانات ساختمان

بهره وری هزینه

بهینه سازی

موضوعات

مدیریت پروژه و ساخت

عنوان مقاله English

The effect of building information modeling on the economics of hospital projects

نویسندگان English

Amrollahi Mohammadreza ¹

Nima Amani ²

¹ MSc Construction Management, Department of Civil Engineering, Chalous Branch, Islamic Azad University, Chalous, Iran

² Associate Professor, Department of Civil Engineering, Chalous Branch, Islamic Azad University, Chalous, Iran

چکیده English

One of the most critical factors for success in public construction projects, such as hospitals, is managing and preventing clashes that inadvertently occur during execution due to the extensive volume of structural, architectural, and installation materials. Effective management of these clashes before the execution phase is crucial to prevent cost overruns, reduce time delays, and maintain project quality. This research explores the optimal implementation of building facilities in public buildings using Building Information Modelling (BIM). A case study of Shohada Tajrish Hospital examines the impact of BIM on managing and completely resolving structural and installation clashes in construction projects, as well as the extent of material waste, rework, and their influence on project cost criteria before the execution phase. In this context, the hospital was modeled twice using Revit 2015 software. Initially, the structural, architectural, and mechanical and electrical installations of the hospital were modeled on two floors according to the project's consultant-approved AutoCAD plans. The process of identifying clash points between structural and installation volumes to resolve them was examined, and the number of such points was determined. Finally, an optimized model free of structural and installation clashes was prepared. By comparing these two models, the amount of material waste and rework resulting from these clashes was calculated and presented. Without Building Information Modeling, an average of 7% material waste and 9% total cost reduction is predicted for a two-story hospital with a floor area of 2,600 m2. The highest amount of waste and rework is related to air duct sheets and galvanized pipe fittings. The total waste rate for air duct sheets is 24% and for galvanized pipe fittings is 32%. The results of this research indicate that using BIM before the project execution phase can identify and prevent structural and installation clashes in projects.

کلیدواژه‌ها English

Building information modeling

Hospital projects

Identifying building facilities interactions

Cost benefit

Optimization

[1] Standard, I.S.O. (2016). ISO 29481-1:2016(E): Building information modeling - information deliverymanual - Part1: Methodology and format.

[2] Maghrebi, M., Waller, T. and Sammut, C. (2013). Integrated building information modelling (BIM) with supply chain and feed-forward control. YBL Journal of Built Environment, 1(2), 25-34. doi.org/10.2478/jbe-2013-0009.

[3] Ben-Alon, L., Loftness, V., Harries, K.A. and Cochran Hameen, E. (2021). Life cycle assessment (LCA) of natural vs conventional building assemblies. Renewable and Sustainable Energy Reviews, 144, 110951. doi.org/10.1016/j.rser.2021.110951.

[4] Lee, G. and Kim, J.W. (2014). Parallel vs. sequential cascading MEP coordination strategies: A pharmaceutical building case study. Automation in Construction, 43, 170-179. doi.org/10.1016/j.autcon.2014.03.004.

[5] Lee, H.W., Oh, H., Kim, Y. and et al. (2015). Quantitative analysis of warnings in building information modeling (BIM). Automation in Construction, 51, 23-31. doi.org/10.1016/j.autcon.2014.12.007.

[6] Falsafi, R. and Salehinejad, F. (2023). Identifying and prioritizing governance factors which affect on the successfulimplementation of building information modeling technology in construction companies. Journal of Technology Development Management, 11(2), 93-132. [In Persian]. doi.org/10.22104/jtdm.2024.6227.3161.

[7] Taheripour, S., Azizi, M. and Eshtehardian, E. (2022). Explaining the effects of national culture dimensions on the adoption of building information modeling (BIM) technology in tehran province construction. Sharif Journal Civil Engineering, 38(1), 119-129. [In Persian]. doi.org/10.24200/j30.2022.58043.2951.

[8] Nilchian, S., Majrouhi Sardrood, J., Darabpour, M. and Tavousi Tafreshi, S. (2021). The study of the contracts of building information model (BIM) and the approach to its contractual framework codification. Journal of Civil Engineering, 53(8), 5. [In Persian]. doi.org/10.22060/ceej.2020.17795.6677.

[9] Ghorab, K. and Taghaddos, H. (2022). An integrated framework using augmented reality (AR) and building information modeling (BIM) for enhancing the stakeholders' interaction in 4d modeling of linear projects. Sharif Journal Civil Engineering, 38(1), 79-85. [In Persian]. doi.org/10.24200/j30.2021.57862.2962.

[10] Rohani, N. and Banihashemi, S.Y. (2022). Identifying and prioritizing the barriers to BIM implementation in Iran. Journal of Civil Engineering, 54(2), 19. [In Persian]. doi.org/10.22060/ceej.2021.19093.7066.

[11] Valizadeh, S. and Parvari, A. (2021). Providing a crisis management model to design a disaster relief building based on BIM and AHP method. Journal of Structural and Construction Engineering, 8(3), 234-250. [In Persian]. doi.org/10.22065/jsce.2019.179215.1833.

[12] Maleki Toulabi, A.M., Pourrostam, T. and Aminnejad, B. (2024). Identification and prioritizing the preventable safety hazards in mass housing projects using the integrated multi-criteria decision-making method by applying the building information modelling (BIM) approach. Journal of Safe City, 6(24), 1-18. [In Persian]. doi.org/10.22034/ispdrc.2023.2013588.1060.

[13] Taheripou, S. and Arbabi, H. (2023). The role of building information modeling (BIM) in reducing conflicts, lawsuits and disputes in construction industry projects. Journal of Science and Engineering Elites, 8(1), 56-71. [In Persian]. No DOI number found. magiran.com/p2573515.

[14] Pourkhodadad, M., Mosalman Yazdi, H.A. and Ravanshadnia, M. (2024). Identifying and evaluating the effectiveness of building information modeling (BIM) in post-earthquake crisis management. In: The 8th International Conference on Researches in Science and Engineering and the 5th International Congress on Civil Engineering, Architecture and Urbanism in Asia. Bangkok. [In Persian]. https://civilica.com/doc/1986736/.

[15] Faraji, A. and Homayounarya, S. (2023). Proposing an integrated time-cost management model based on building information modeling (BIM) and blockchain technology (BCT) smart contract development approach in the construction industry. Journal of Modeling in Engineering, 21(74), 191-206. [In Persian]. doi.org/10.22075/jme.2023.27994.2313.

[16] Mahmoud, H.M., Fayad, A.A. and Nassar, A.H. (2022). Investigating the impact of changing the usage type of existing structure using BIM. Civ. Eng. J, 8(8), 1606-1621. dx.doi.org/10.28991/CEJ-2022-08-08-06.

[17] Sacks, R., Girolami, M. and Brilakis, I. (2020). Building information modelling, artificial intelligence and construction tech. Developments in the Built Environment, 4, 100011. doi.org/10.1016/j.dibe.2020.100011.

[18] Husin, A.E., Priyawan, P., Kussumardianadewi, B.D., Pangestu, R., Prawina, R.S., Kristiyanto, K. and Arif, E.J. (2023). Renewable energy approach with indonesian regulation guide uses blockchain-BIM to green cost performance. Civil Engineering Journal, 9(10), 2486-2502. dx.doi.org/10.28991/CEJ-2023-09-10-09.

[19] Othman, I., Al-Ashmori, Y.Y., Rahmawati, Y., Mugahed Amran, Y.H. and Al-Bared, M.A.M. (2021). The level of building information modelling (BIM) implementation in malaysia. Ain Shams Engineering Journal, 12(1), 455-463. doi.org/10.1016/j.asej.2020.04.007.

[20] Ojeda, J.M.P., Huatangari, L.Q., Calderon, B.A.C., Tineo, J.L.P., Panca, C.Z.A. and Pino, M.E.M. (2024). Estimation of the physical progress of work using UAV and BIM in construction projects. Civil Engineering Journal, 10(2). dx.doi.org/10.28991/CEJ-2024-010-02-02.

[21] Zhang, S., Sulankivi, K., Kiviniemi, M., Romo, I., Eastman, C.M. and Teizer, J. (2015). BIM-based fall hazard identification and prevention in construction safety planning. Safety Science, 72, 31-45. doi.org/10.1016/j.ssci.2014.08.001.

[22] Tomek, A. and Matejka, P. (2014). The Impact of BIM on risk management as an argument for its implementation in a construction company. Procedia Engineering, 85, 501-509. doi.org/10.1016/j.proeng.2014.10.577.

[23] Poirier, E.A., Staub-French, S. and Forgues, D. (2015). Measuring the impact of BIM on labor productivity in a small specialty contracting enterprise through action-research. Automation in Construction, 58, 74-84. doi.org/10.1016/j.autcon.2015.07.002.

[24] Fani, F., Taherkhani, R. and Sabzehparvar, M. (2015). Applications of building information modeling in constructionproject management.In: The first national congress of new technologies of Iran with the aim of achieving sustainable development. Tehran. [In Persian]. https://civilica.com/doc/345469/.

[25] Amani, N. and Alipour, M. (2021). Managing operational strategies to standardize contractors' decisions in construction projects. Journal of Structural and Construction Engineering, 8, 174-188. doi: 10.22065/jsce.2020.232383.2148

[26] Amani, N. (2024). Sustainable construction of green school building using energy simulation analysis and modeling. Hybrid Advances, 6, 100236. doi.org/10.1016/j.hybadv.2024.100236

[27] Amani, N. and Rezasoroush, A. (2021). Building energy management using building information modeling: Evaluation of building components and construction materials. Journal of Renewable Energy and Environment (Jree), 8 (2), 31–38. doi.org/10.30501/jree.2020.236391.1120

[28] Amani, N. and Rezasoroush, A. (2020). Effective energy consumption parameters in residential buildings using Building Information Modeling. Global Journal of Environmental Science and Management (Gjesm), 6 (4), 467–480. doi: 10.22034/gjesm.2020.04.04